Announcing Autofix Bot

The bottleneck in modern software isn’t writing code anymore — it’s reviewing it. AI has made it trivial to produce large volumes of “good-enough” code that compiles and passes tests, but much of it never lives as a mental model in anyone’s head. In that world, LLM-only code review tends to miss high-impact issues and behave non-deterministically across runs, while static scanners overwhelm teams with noisy findings. What developers actually need are reliable patches they can merge, not essays they have to triage.

Our answer is a hybrid agent: static analysis to provide high-recall, deterministic signals (across app code and config surfaces), coupled with an AI remediation layer that validates the finding in context and synthesizes a minimal Git patch with a short rationale. The static pass keeps the agent honest and focused; the agent turns signals into fixes. The same pattern powers our secrets detection: a broad regex sweep followed by a fine-tuned classifier that collapses false positives without sacrificing recall.

We're excited to publish our results on our Benchmarks page, covering security review, secrets detection, and end-to-end remediation. We're currently rolling out to early access partners, so join the waitlist and follow us on @autofixbot.

We'll see you as a TUI, API, and in your GitHub PRs soon!